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Data Engineer

We're Hiring

While the labor market today typically relies on signals from resumes, we apply large amounts of data and cutting-edge data science to transform the way people are identified, hired, and deployed—a change that has the potential to transform the largest labor market in the U.S. Leveraged in over 1100 healthcare facilities, including Mt. Sinai Health System, HCM ManorCare, and Sunrise Senior Living, our clients have experienced a median 38% reduction in employee turnover and generated millions in cost savings. While we've had strong sales in the healthcare industry today, we have entered other verticals and are continuing to explore more. With a combination of a quickly growing business, proven leadership team, well-respected client base and strong venture-backing, Arena is positioned to rewire the labor market.

Data Engineering at Arena

The technology group has three main concerns governing our lives: support our Data Science team, integrate with our clients' systems, and build new product lines. To support our Data Science team we're constantly looking to add new data sources to our growing data lake, make that data available, validate the integrity of the data, discover connections between data, and augment the types of data we can utilize. The problems we face are less about the size of the data than making sure the signal derived is valuable.

Our Data Stack

  • Python (Numpy, Pandas, etc.) & Clojure
  • AWS for our platform
  • Github, CircleCI, Coveralls, Bash Scripts and Ansible for CI/CD
  • PostgreSQL

Our Requirements

  • 4+ yrs professional experience as an ETL or Data Engineer
  • An entrepreneurial mindset -- you have a track record of easily learning new technologies and tools
  • Basic statistics and an understanding of mathematical terms
  • Someone looking for a career in Data Engineering, not as a stepping stone into a Data Science role

Our Benefits

  • Frequent work from home weeks
  • Competitive salary, benefits and equity
  • A flexible 40hr work week. Come fresh, not burnt out.
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